vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Bug]: `--override-generation-config` silently drops `eos_token_id` from model's `generation_config.json` — Gemma 4 tool-calling generation never stops
- [Bug]: fastapi error '_IncludedRouter' object has no attribute 'path'
- docs: clarify NIXL KV connector metrics aggregation semantics
- refactor: rename flashinfer_utils.py to flashinfer_moe.py
- EngineCore init failure reports empty "Failed core proc(s): {}" — no PID or underlying error when the core subprocess is killed during init
- docs: clarify audio chunking is non-overlapping in transcription guide
- [Bugfix] Avoid scheduler crash on stale KV transfer completion for already-freed requests
- Revert "[BugFix] Fix prompt_embeds for multimodal models" (#45383)
- [Frontend] Unify preprocessing error code to 400
- [Feature] Support Anthropic search_result content blocks
- Docs
- Python not yet supported